Cloud Computing Topics for Paper Presentation and Journals


Cloud Computing Topics
  1. Cloud /Grid architecture
  2. Cloud-based Services and Education
  3. Infrastructure as a Service (IaaS)
  4. Software as a Service (SaaS)
  5. Platform as a Service (PaaS)
  6. Virtualization
  7. High-Performance Computing
  8. Cloud-Delivered Testing
  9. Cloud Lock-in vs. Cloud Interoperability
  10. Multi Cloud Frameworks & APIs
  11. Monitoring Cloud Applications
  12. Data Security & Encryption On The Cloud
  13. Elastic Computing
  14. Cloud Databases
  15. Private vs. Public Clouds
  16. Cloud Scalability
  17. Cloud Analytics
  18. Interoperability and emerging standards
  19. Composition and integration
  20. Master data management
  21. Software architectures and technology platforms
  22. Software development processes
  23. Data Governance
  24. Lifecycle management
  25. Reliability and Availability
  26. Security
  27. Business aspects
  28. Customer behavior
  29. Software services science
  30. Financial impacts, pricing and sales models
  31. Legal and country-specific aspects
  32. Ecosystems and new business models
  33. Industry-specific perspectives
  34. Demonstration of applications and/or their successful usage
  35. Application:
    1. Cloud based industry applications, such as cloud based search, cloud based e-business and mobile commerce, wireless cloud
  36. Architecture:
    1. Cloud middleware and toolkits
    2. Cloud reference architectures and service models
  37. Business:
    1. Cloud computing economics including ROI, TCO, purchasing models, pricing models of cloud computing
    2. Scientific, industrial and social implications of cloud computing
  38. Cloud engineering:
    1. Cloud programming models, such as MapReduce/e.g., Hadoop, coordination for distributed computing/e.g., ZooKeeper, Web scale NOSQL database/e.g., Cassandra
    2. Practice of using open source cloud computing technologies
    3. Method, model, and process for creating and deploying virtual images, defining the
      patterns and parts for application middleware and applications
    4. Technologies to support high availability, scalability, and caching to enhance runtime in cloud platform
  39. Green:
    1. Technologies for green data centers (e.g., algorithms and technologies that could help save power in data centers)
  40. Management and optimization:
    1. Cloud service management
    2. Monitoring and automatic scaling of cloud computing resources
    3. Optimization, dynamic sharing and provisioning of virtual resources such as virtual machines, virtual storage, and VLAN
  41. Standards:
    1. Cloud computing standards (such as those derived from OVF,)
    2. Interoperability among format of different virtual machines (e.g., VMware, Xen, KVM)
  42. Technologies and services:
    1. Architecting cloud computing with enabling technologies, such as Web services and semantic Web
    2. IaaS technologies, especially virtual technologies and their application in dynamic resource provisioning
    3. Key characteristics of cloud programming, such as agility, cost, device and location independence, reliability, security, sustainability, scalability, and maintenance
    4. Open API and service orchestration on cloud platform
    5. Other cloud services (connectivity services, and persistence services, including NOSQL technologies)
    6. PaaS technologies, especially cloud platform management technologies including fast provisioning of complex topologies
    7. SaaS technologies (such as multi-tenancy, management of applications and tenants in multi-tenant environment)
    8. Theoretical model of cloud computing
    9. Workload characters and performance evaluation and modeling of cloud computing.
  43. Architectural models for cloud computing
  44. Cloud resource management and allocation
  45. Utility models and service pricing
  46. New parallel / concurrent programming models for cloud computing
  47. Scientific computation and other applications in the cloud
  48. Workflows for cloud computing
  49. Content Delivery Networks using Storage Clouds
  50. Programming Models:
    1. To avoid the pitfalls of heterogeneous programming paradigms, what are
      the software engineering challenges that developers face when
      targeting the cloud as their production environment to offer services?
  51. Service Management:
    1. How is cloud computing going to address the challenges around soaring
      service management costs?
  52. Cloud Services:
    1. What are the new business models for services that could optimally
      leverage cloud economies of scale?
  53. Architectural models for cloud computing
  54. Virtualization of the infrastructure
  55. Platform as a service
  56. Software as a service
  57. Hardware as a service
  58. Elasticity in clouds
  59. Storage virtualization
  60. Green computing models for clouds
  61. Programming models for clouds
  62. Cloud computing for the mobile world
  63. Threat handling and security issues in clouds
  64. Enterprise applications on clouds
  65. OS development for applications on clouds
  66. QoS for applications on clouds
  67. Optimization and performance issues on clouds
  68. Communication protocols for clouds
  69. Databases for clouds
  70. Web 2.0 and clouds

 

 

 

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